部分识别的最新进展

IF 6.8 2区 经济学 Q1 ECONOMICS
Brendan Kline, Elie Tamer
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引用次数: 2

摘要

识别策略关注基于数据和模型假设的参数值可以学到什么。关于部分识别的文献的动机是,对于许多经验相关的情况,不可能学习参数的确切值。在部分识别的文献中,一个典型的结果是一个关于特征识别集的陈述,它总结了在给定数据和模型假设的情况下,可以从感兴趣的参数中学到什么。例如,这可能意味着可以学习参数的值必须在某个值集合内。首先,审查调查了为进行部分识别分析而开发的一般框架。其次,本文综述了部分识别的一些最新研究成果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent Developments in Partial Identification
Identification strategies concern what can be learned about the value of a parameter based on the data and the model assumptions. The literature on partial identification is motivated by the fact that it is not possible to learn the exact value of the parameter for many empirically relevant cases. A typical result in the literature on partial identification is a statement about characterizing the identified set, which summarizes what can be learned about the parameter of interest given the data and model assumptions. For instance, this may mean that the value of the parameter can be learned to be necessarily within some set of values. First, the review surveys the general frameworks that have been developed for conducting a partial identification analysis. Second, the review surveys some of the more recent results on partial identification.
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来源期刊
CiteScore
9.70
自引率
3.60%
发文量
34
期刊介绍: The Annual Review of Economics covers significant developments in the field of economics, including macroeconomics and money; microeconomics, including economic psychology; international economics; public finance; health economics; education; economic growth and technological change; economic development; social economics, including culture, institutions, social interaction, and networks; game theory, political economy, and social choice; and more.
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